# data[].attributes.body
F 2
I 3
H 4
C 5
J 6
A 7
D 8
E 9
B 10

# data[].attributes.body
1 G
2 F
3 I
4 H
5 C
6 J
7 A
8 D
9 E
10 B

# data[].attributes.body
1 g
2 f
3 i
4 h
5 c
6 j
7 a
8 d
9 e
10 b

# data[].attributes.body
1- g
2- f
3- i
4 - h
5 - c
6 - j
7 - a
8 - d
9 - e
10 - b

# data[].attributes.body
1. g
2. f
3. i
4. h
5. c
6. j
7. a
8. d
9. e
10. b

# data[].attributes.body
1g
2f
3i
4h
5c
6j
7a
8d
9e
10b

# data[].attributes.body
1 g
2 f
3 i
4 h
5 c
6 j
7 a
8 d
9 e
10 b

# data[].attributes.body
1. g
2. f
3. i
4. h
5. c
6. j
7. a
8. d
9. e
10. b

# data[].attributes.body
1-g
2-f
3-i
4-h
5-c
6-j
7-a
8-d
9-e
10-b

# data[].attributes.body
1. g
2. f
3. i
4. h
5. c
6. j
7. a
8. d
9. e
10. b

# data[].attributes.body
1-g
2-f
3-i
4-h
5-c
6-j
7-a
8-d
9-a
10-b

# data[].attributes.body
1. G
2. F
3. I
4. H
5. C
6. J
7. A
8. D
9. E
10. B

# data[].attributes.body
1. G
2. F
3. I
4. H
5. C
6. J
7. A
8. D
9. E
10. B

# data[].attributes.body
1. g
2. f
3. i
4. h
5. c
6. j
7. a
8. d
9. e
10. b

# data[].attributes.body
1 g
2f
3i
4h
5c
6j
7a
8d
9e
10b

# data[].attributes.body
1.g
2.f
3.i
4.h
5.c
6.j
7.a
8.d
9.e
10.b

# data[].attributes.body
a7
b10
c5
d8
e9
f2
g1
h4
i3
j6

# data[].attributes.body
1.g
2.f
3.i
4.h
5.c
6.j
7.a
8.d
9.e
10.b

# data[].attributes.body
1. g
2. f
3.i
4.h
5.c
6.j
7.a
8.d
9.e
10.b

# data[].attributes.body
1g
2f
3i
4h
5c
6j
7a
8d
9e
10b

# data[].attributes.body
1.g
2.f
3.i
4.h
5.c
6.j
7.a
8.d
9.e
10.b

# data[].attributes.body
1.g
2.f
3.i
4.h
5.c
6.j
7.a
8.d
9.e
10.b

# data[].attributes.body
1g
2f
3i
4h
5c
6
7
8
9

# data[].attributes.body
1 g
2 f
3 i
4 h
5 c
6 j
7 a
8 d
9 e
10 b

# data[].attributes.body
1g
2f
3i
4h
5c
6j
7a
8d
9e
10b

# data[].attributes.body
1. g
2. f
3. i
4. h
5. c
6. j
7. a
8. d
9. e
10. b

# data[].attributes.body
1 g
2f
3 i
4 h
5 c
6 j
7 a
8 d
9 e
10 b

# data[].attributes.body
2. ice and lemon
3. 15 euros
4. a glass of white wine and a whisky
5. dry or medium dry wine
6. a large or a small whisky
7. 13 euros
8. an apple juice, a mineral water and a brandy
9. still or sparkling mineral water
10. double or a single brandy
11. 14 euros

# data[].attributes.body
1 ice and lemon
15$
2 wine and whisky
dry or medium dry
large or small
13$
3 apple juice,mineral water and brandy
still or sparkling mineral water
double or single of brandy
14$

# data[].attributes.body
2- Ice and lemon
3- 15
4- Wine and Whisky
5- Dry or Medium Dry
6- Large or small
7- 13
8- apple juice, mineral water and brandy
9- Still or sparkling mineral water
10- Would you like double or single brandy
11- 14

# data[].attributes.body
1 one large beer, and a vodka and tonic
2. would you like ice and lemon
3. 15 euros
4. can i have whisky and wine, please.
5. would you like dry or medium dry
6. and would you like small or large
7. 12 euro
8.
9.can i have mineral water. please
10.

# data[].attributes.body
1. one large beer, and a vodka and tonic, please.
2. ice and lemon
3. 15
4. a whisky and a glass of wine
5. dry or medium dry wine
6. a large or a small whisky
7. 13
8. An apple juice,  mineral water, and a brandy
9. still or sparkling mineral water
10. double or single brandy

# data[].attributes.body
1....
2...
3....

# data[].attributes.body
I,
2. ice and lemon
3. 15$
II.
4. a whisky and a glass of wine
5. dry or medium-dry wine
6. small or large whisky
7. 13$
III,
8.  an apple juice, mineral water, and a glass of Brady
9. sparkling or still water
10. single and double Brandy
11. 14$

# data[].attributes.body
2. ice and lemon
3. fifteen euros, please
4. a glass of white wine and a whisky
5. dry or medium dry
6. a small or a large whisky
7. 13 euros
8. an apple juice, a mineral water and a brandy
9. still or sparkling mineral water

# data[].attributes.body
2 ice and lemon
3
4 a glass of wine and a whisky
5
dry or medium dry wine
6 a large or small whisky
7
8 an apple juice a mineral water and a brandy
9 still or sparkling mineral water
10 doulble or a single brady
11

# data[].attributes.body
2. ice and lemon
3. There are 17
4. a glass of wine and whisky
5. dry or medium dry
6. large or small
7. There are 13
8. a apple juice, a mineral water and a class of brandy
9. sparkling or still
10. double or single
11. There are 14

# data[].attributes.body
2. ice and lemon
3.15
4.a glass of wine and a glass ofwhisky
5.dry or medium dry
6.small or large
7.13
8.apple juice and mineral water and glass of brandy
9.sparkling or still
10.single or double
11.14

# data[].attributes.body
2. ice and lemon
3. $15
4. a glass of wine and whisky
5.dry or medium dry
6.large or small
7. $13
8. a apple juice, a mineral water and glass of brandy
9. sparkling or still
10. double or single
11. $14

# data[].attributes.body
2. ice and lemon
3. 15€
4.wine or whisky
5. dry or dry medium
6. small or large
7.13€
8. an apple juice mineral water or brandy
9.still or sparkling mineral water
10.  double or single brandy
11.14

# data[].attributes.body
1. ice and lemon
2. $15
3. a glass of whisky and wine
4 dry or medium dry whisky
5 large or small
6

# data[].attributes.body
1. one large beer, and a vodka and tonic please
2. ice and lemon
3. 15
4. a glass of wine and a whisky
5. dry or medium dry wine
6. a large or a small whisky
7. 13
8. an apple juice, a mineral water, and a brandy
9. still or sparkling mineral water
10. double or single brandy
11. 14

# data[].attributes.body
2 ice and lemon
3 15
4 a glass of wine and one whisky
5 dry or medium dry wine
6 a large or small whisky
7 13
8 a mineral water and brandy and apple juice
9 sparkling or still
10 single or double
11 14

# data[].attributes.body
2. ice and lemon
3. $15
4. a glass of wine and whisky
5. dry or medium dry wine
6. a large or a small whisky
7. $13
8. an apple juice, a mineral water and a brandy
9. spakling or still water
10. a single or double brandy
11. $14

# data[].attributes.body
1.
2. Ice and lemon
3. Fifteen
4. A glass of white wine and a whisky
5. dry or medium dry wine
6. a large or small whisky
7. thirteen
8.  A apple juice, a mineral water and a class of brandy
9. sparrkling or still
10. đouble or single
11. There are 14

# data[].attributes.body
1. Ice and lemon
2.15
3. A glass of wine and whisky
4.dry or medium dry
5. A glass Large or a small whisky
6. 13
7.an apple juice, a mineral water, and a brandy
8.still or sparking mineral water
9. Double or a singer brandy
10. 14

# data[].attributes.body
1.  ice and lemon, 15 euro
2. a glass of white wine and whiskey, dry or medium dry wine , large or small,
3. mineral water, spakling or still

# data[].attributes.body
2.  ice and lemon
3. 15
4. a glass of wine and whisky
5. dry or medium
6. large or small
7. 13
8. an apple juice, mineral water and a glass of brandy
9. sparkling water or still water
10. single or double
11. 14

# data[].attributes.body
2ice and lemon
3 15
7 13
6beer

# data[].attributes.body
2. Ice and lemon
3.15$
4.wine and whisky
5. Dry or medium dry
6.large or small
7.13$
8. Apple juice, mineral water and brandy
9. Sparkling or still
10. Single or double
11.14$

# data[].attributes.body
1. one large beer, and a vodka and tonic please
2. ice and lemon
3. 15
4. a glass of wine and a whisky
5. dry or medium dry wine
6. a large or a small whisky
7. 13
8. an apple juice, a mineral water, and a brandy
9. still or sparkling mineral water
10. double or single brandy
11. 14

# data[].attributes.body
2. Ice and lemon
3. 15
4. Wine and whisky
5. Dry or medium dry wine
6. A large or small whisky
7. 13
8. An apple juice, a mineral water and a brandy
9. Still or sparkling mineral water
10. Double or a single brandy water
11. 14

# data[].attributes.body
riesling
sauvignon plant
pinot grigio
chardonnay

# data[].attributes.body
riesling
savignon blanc
pinot grigio
chardonnay
merlot ( french )
merlot ( chilean )

# data[].attributes.body
1.riesling
2. sauvignon blanc
3.pinot grigio
4.chardonnay
5. merlot french

# data[].attributes.body
Riesling, Sauvignon Blanc, Pinot Grigio, Chardonay

# data[].attributes.body
sauvignon blanc
pinot grigio
chardonay
merlot (french)
Water

# data[].attributes.body
riesling
sauvignon blanc
pinot grigio
chardonnay
chilean merlot

# data[].attributes.body
1. Riesling
2. Sauvignon Blanc
3. Pinot Grigio
4. Chardonnay
5. Merlot (Chilean)

# data[].attributes.body
Riesling
Sauvignon Blanc
Pinot grigio
Chardonnay
Merlot (French)
Merlot (Chilean)

# data[].attributes.body
Riesling
Sauvignon Blanc
Pinot Grigio
Chardonnay
Merlot French
Merlot Chilean

# data[].attributes.body
sauvignon blanc
riesling
merlot

# data[].attributes.body
sauvignon blanc, riesling
pinot grigio
chardonnay
merlot

# data[].attributes.body
Sauvignon blanc, riesling, chardonnay, merlot, pinot grigio,

# data[].attributes.body
riesling, sauvignon blanc, pinot grigio, chardonney, merlot,

# data[].attributes.body
1 sauvignon blanc
2 riesling
3 pinon grigio
4 chardonnay
5 merlot
6 full bodied wine

# data[].attributes.body
1. Riesling and Sauvignon blanc
2. Pinot grigio
3. chardonnay
4. Merlot( french) or merlot( chilean)
5. Full bodied wine

# data[].attributes.body
Sauvignon blanc
Chardonnay
Merlot

# data[].attributes.body
Riesling
Sauvignon Blanc
Pinot Grigio
Chardonnay
Merlot French
Merlot Chilean

# data[].attributes.body
sauvignon blance
pinot grigio

# data[].attributes.body
1 d
2 g
3 a
4 b
5 f
6 e
7 c

# data[].attributes.body
1-d
2-g
3-a
4-b
5-f
6-e
7-c

# data[].attributes.body
1. d
2. g
3. a
4. b
5. f
6. e
7. c

# data[].attributes.body
1.d
2.g
3.a
4.b
5.f
6.e
7.c

# data[].attributes.body
1d
2g
3a
4b
5f
6e
7c

# data[].attributes.body
1-d
2-g
3-a
4-b
5-f
6-e
7-c

# data[].attributes.body
1d
2g
3a
4b
5f
6e
7c

# data[].attributes.body
1 d
2 g
3 a
4 b
5 f
6e
7 C

# data[].attributes.body
1 d
2 g
3 a
4 b
5 f
6 e
7 c

# data[].attributes.body
1d
2g
3a
4b
5f
6e
7c

# data[].attributes.body
1. D
2. G
3. A
4. B
5. F
6. E
7. C

# data[].attributes.body
1 d
2g
3a
4b
5f
6e
7c

# data[].attributes.body
1. d
2. g
3. a
4. b
5. f
6. e
7. c

# data[].attributes.body
1.d
2.g
3.a
4.b
5.f
6.e
7.c

# data[].attributes.body
1 d
2g
3 a
4b
5f
6e
7c

7

# data[].attributes.body
1. d
2. g
3. a
4. b
5. f
6. e
7. c

# data[].attributes.body
1. d
2.g
3.a
4.b
5.f
6.e
7.c

# data[].attributes.body
1.d
2.g
3.a
4.b
5. f
6.e
7.c

# data[].attributes.body
1d
2g
3a
4b
5f
6e
7c

# data[].attributes.body
1d
2g
3a
4
5f
6
7c